Reggy - Regressions with arbitrarily complex regularization terms

Kim

Last update: Jan 20, 2022

Related tags

Machine Learning reggy

Overview

reggy

Regressions with arbitrarily complex regularization terms.

Currently supported regularization terms:

LASSO

Installation

$ pip install reggy

Usage

A simple example with LASSO regularization:

import reggy
import numpy as np


alpha = 0.3
beta = 1.7

X = np.random.normal(size=(1000, 1))
y = np.random.normal(X * beta + alpha, size=(1000, 1))

model = reggy.RegReg(X, y, family=reggy.gaussian_family, regularizers=[reggy.lasso])
model.fit()

print(model.coef())
## (array([[0.27395004]], dtype=float32), array([[1.2682909]], dtype=float32))

Comments

Update tensorflow-probability requirement from ^0.17 to >=0.17,<0.19
Updates the requirements on tensorflow-probability to permit the latest version.

Release notes

Sourced from tensorflow-probability's releases.

TensorFlow Probability 0.18.0

Release notes

This is the 0.18.0 release of TensorFlow Probability. It is tested and stable against TensorFlow version 2.10 and JAX 0.3.17 .

Change notes

[coming soon]

Huge thanks to all the contributors to this release!

[coming soon]

Commits

68d4382 When using TensorFlow, TFP 0.18 requires TF 2.10+.

d1ba88e Update version for the TFP 0.18.0 release.

14db88b Use dtype_util inside LGSSM to infer dtype.

24301c5 Change tfp/experimental to use internal imports to speed up tests.

c03f005 Re-enable ZeroInflatedNegativeBinomial in distribution_properties_test.

cc84214 Correctly expose sub-distribution parameters in distributions created by

1999fbe Disable ZeroInflatedNegativeBinomial in distribution_properties_test

1784cd6 Block bad tf-nightly release from 2022-09-02 (missing x86 manylinux wheels)

0990bc9 Change stats/, mcmc/, monte_carlo/ optimizer/ and vi/ to use most specific im...

de75e2d Update pairwise_square_distance_matrix(x, x) to always have zero diagonals.

Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

@dependabot rebase will rebase this PR

@dependabot recreate will recreate this PR, overwriting any edits that have been made to it

@dependabot merge will merge this PR after your CI passes on it

@dependabot squash and merge will squash and merge this PR after your CI passes on it

@dependabot cancel merge will cancel a previously requested merge and block automerging

@dependabot reopen will reopen this PR if it is closed

@dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually

@dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

dependencies
opened by dependabot[bot] 0
Update tensorflow-probability requirement from >=0.15,<0.17 to >=0.15,<0.18
Updates the requirements on tensorflow-probability to permit the latest version.

Release notes

Sourced from tensorflow-probability's releases.

TensorFlow Probability 0.17.0

Release notes

This is the 0.17.0 release of TensorFlow Probability. It is tested and stable against TensorFlow version 2.9.1 and JAX 0.3.13 .

Huge thanks to all the contributors to this release!

[coming soon]

Commits

e3d67c0 Update version for the TFP 0.17.0 release.

bfe7d2b Revert "Fix TensorFlow checkpoint and trackable imports."

6d04325 Increase tolerance in LinearOperatorUnitaryTest.test_solve.

5172cc7 Merge pull request #1569 from ryanrussell:main

6685d04 Merge pull request #1573 from RenuPatelGoogle:patch-1

b689df6 Add holidays as a test dependency for TFP.

8e72c11 Fix failure in windowed_sampling_test.jax in OSS.

9cdc4ee Fixed few code lines in this API example

f8107c1 DOCFIX: Correct Markov state distribution notation in EnKF. The distributions...

0a10dd4 Fix TensorFlow checkpoint and trackable imports.

Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

@dependabot rebase will rebase this PR

@dependabot recreate will recreate this PR, overwriting any edits that have been made to it

@dependabot merge will merge this PR after your CI passes on it

@dependabot squash and merge will squash and merge this PR after your CI passes on it

@dependabot cancel merge will cancel a previously requested merge and block automerging

@dependabot reopen will reopen this PR if it is closed

@dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually

@dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

dependencies
opened by dependabot[bot] 0
Update tensorflow-probability requirement from ^0.15.0 to >=0.15,<0.17
Updates the requirements on tensorflow-probability to permit the latest version.

Release notes

Sourced from tensorflow-probability's releases.

TensorFlow Probability 0.16.0

Release notes

This is the 0.16.0 release of TensorFlow Probability. It is tested and stable against TensorFlow version 2.8.0 and JAX 0.3.0 .

Change notes

[coming soon]

Huge thanks to all the contributors to this release!

[coming soon]

Commits

88d217d Set version for TFP 0.16.0 release.

1407b47 Add tfp.experimental.psd_kernels.AdditiveKernel.

6e83921 Thread STS name into its joint distribution

afbc1a5 Remove usage of deprecated layer API.

1d651d6 Add an is_missing argument to GaussianProcess.log_prob.

93e0365 Fix typo.

273eba3 Add tfp.math.psd_kernels.SpectralMixture.

20c4ce2 Add experimental multi-task kernels and multi-task GPs.

53e48fd Update collections.Iterable to collections.abc.Iterable for Python 3.10.

08a3bb1 Update generated tensor_shape file in the Numpy backend.

Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

@dependabot rebase will rebase this PR

@dependabot recreate will recreate this PR, overwriting any edits that have been made to it

@dependabot merge will merge this PR after your CI passes on it

@dependabot squash and merge will squash and merge this PR after your CI passes on it

@dependabot cancel merge will cancel a previously requested merge and block automerging

@dependabot reopen will reopen this PR if it is closed

@dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually

@dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

dependencies
opened by dependabot[bot] 0
Update pytest requirement from ^6.2.1 to ^7.0.0
Updates the requirements on pytest to permit the latest version.

Release notes

Sourced from pytest's releases.

7.0.0

pytest 7.0.0 (2022-02-03)

(Please see the full set of changes for this release also in the 7.0.0rc1 notes below)

Deprecations

#9488: If custom subclasses of nodes like pytest.Item{.interpreted-text role="class"} override the __init__ method, they should take **kwargs. See uncooperative-constructors-deprecated{.interpreted-text role="ref"} for details.

Note that a deprection warning is only emitted when there is a conflict in the arguments pytest expected to pass. This deprecation was already part of pytest 7.0.0rc1 but wasn't documented.

Bug Fixes

#9355: Fixed error message prints function decorators when using assert in Python 3.8 and above.

#9396: Ensure pytest.Config.inifile{.interpreted-text role="attr"} is available during the pytest_cmdline_main <_pytest.hookspec.pytest_cmdline_main>{.interpreted-text role="func"} hook (regression during 7.0.0rc1).

Improved Documentation

#9404: Added extra documentation on alternatives to common misuses of [pytest.warns(None)]{.title-ref} ahead of its deprecation.

#9505: Clarify where the configuration files are located. To avoid confusions documentation mentions that configuration file is located in the root of the repository.

Trivial/Internal Changes

#9521: Add test coverage to assertion rewrite path.

pytest 7.0.0rc1 (2021-12-06)

Breaking Changes

#7259: The Node.reportinfo() <non-python tests>{.interpreted-text role="ref"} function first return value type has been expanded from [py.path.local | str]{.title-ref} to [os.PathLike[str] | str]{.title-ref}.

Most plugins which refer to [reportinfo()]{.title-ref} only define it as part of a custom pytest.Item{.interpreted-text role="class"} implementation. Since [py.path.local]{.title-ref} is a [os.PathLike[str]]{.title-ref}, these plugins are unaffacted.

Plugins and users which call [reportinfo()]{.title-ref}, use the first return value and interact with it as a [py.path.local]{.title-ref}, would need to adjust by calling [py.path.local(fspath)]{.title-ref}. Although preferably, avoid the legacy [py.path.local]{.title-ref} and use [pathlib.Path]{.title-ref}, or use [item.location]{.title-ref} or [item.path]{.title-ref}, instead.

Note: pytest was not able to provide a deprecation period for this change.

... (truncated)

Commits

3554b83 Add note to changelog

6ea7f99 Prepare release version 7.0.0

737b220 [7.0.x] releasing: Add template for major releases (#9597)

7fa3972 [7.0.x] releasing: Always set doc_version (#9590)

b304499 [7.0.x] Make 'warnings' and 'deselected' in assert_outcomes optional (#9566)

f17525d [7.0.x] doc: Add ellipsis to warning usecase list (#9562)

0a7be97 ci: Bump up timeout (#9565)

c17908c [7.0.x] doc: Recategorize 7.0.0 changelog items (#9564)

ab549bb [7.0.x] Add missing cooperative constructor changelog (#9563)

4b1707f [7.0.x] Autouse linearization graph (#9557)

Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

@dependabot rebase will rebase this PR

@dependabot recreate will recreate this PR, overwriting any edits that have been made to it

@dependabot merge will merge this PR after your CI passes on it

@dependabot squash and merge will squash and merge this PR after your CI passes on it

@dependabot cancel merge will cancel a previously requested merge and block automerging

@dependabot reopen will reopen this PR if it is closed

@dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually

@dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

dependencies
opened by dependabot[bot] 0
Update black requirement from ^21.12b0 to ^22.1
Updates the requirements on black to permit the latest version.

Release notes

Sourced from black's releases.

22.1.0

At long last, Black is no longer a beta product! This is the first non-beta release and the first release covered by our new stability policy.

Highlights

Remove Python 2 support (#2740)

Introduce the --preview flag (#2752)

Style

Deprecate --experimental-string-processing and move the functionality under --preview (#2789)

For stubs, one blank line between class attributes and methods is now kept if there's at least one pre-existing blank line (#2736)

Black now normalizes string prefix order (#2297)

Remove spaces around power operators if both operands are simple (#2726)

Work around bug that causes unstable formatting in some cases in the presence of the magic trailing comma (#2807)

Use parentheses for attribute access on decimal float and int literals (#2799)

Don't add whitespace for attribute access on hexadecimal, binary, octal, and complex literals (#2799)

Treat blank lines in stubs the same inside top-level if statements (#2820)

Fix unstable formatting with semicolons and arithmetic expressions (#2817)

Fix unstable formatting around magic trailing comma (#2572)

Parser

Fix mapping cases that contain as-expressions, like case {"key": 1 | 2 as password} (#2686)

Fix cases that contain multiple top-level as-expressions, like case 1 as a, 2 as b (#2716)

Fix call patterns that contain as-expressions with keyword arguments, like case Foo(bar=baz as quux) (#2749)

Tuple unpacking on return and yield constructs now implies 3.8+ (#2700)

Unparenthesized tuples on annotated assignments (e.g values: Tuple[int, ...] = 1, 2, 3) now implies 3.8+ (#2708)

Fix handling of standalone match() or case() when there is a trailing newline or a comment inside of the parentheses. (#2760)

from __future__ import annotations statement now implies Python 3.7+ (#2690)

Performance

Speed-up the new backtracking parser about 4X in general (enabled when --target-version is set to 3.10 and higher). (#2728)

Black is now compiled with mypyc for an overall 2x speed-up. 64-bit Windows, MacOS, and Linux (not including musl) are supported. (#1009, #2431)

Configuration

Do not accept bare carriage return line endings in pyproject.toml (#2408)

Add configuration option (python-cell-magics) to format cells with custom magics in Jupyter Notebooks (#2744)

Allow setting custom cache directory on all platforms with environment variable BLACK_CACHE_DIR (#2739).

Enable Python 3.10+ by default, without any extra need to specify --target-version=py310. (#2758)

Make passing SRC or --code mandatory and mutually exclusive (#2804)

Output

Improve error message for invalid regular expression (#2678)

Improve error message when parsing fails during AST safety check by embedding the underlying SyntaxError (#2693)

No longer color diff headers white as it's unreadable in light themed terminals (#2691)

Text coloring added in the final statistics (#2712)

Verbose mode also now describes how a project root was discovered and which paths will be formatted. (#2526)

Packaging

All upper version bounds on dependencies have been removed (#2718)

typing-extensions is no longer a required dependency in Python 3.10+ (#2772)

Set click lower bound to 8.0.0 as Black crashes on 7.1.2 (#2791)

... (truncated)

Changelog

Sourced from black's changelog.

22.1.0

At long last, Black is no longer a beta product! This is the first non-beta release and the first release covered by our new stability policy.

Highlights

Remove Python 2 support (#2740)

Introduce the --preview flag (#2752)

Style

Deprecate --experimental-string-processing and move the functionality under --preview (#2789)

For stubs, one blank line between class attributes and methods is now kept if there's at least one pre-existing blank line (#2736)

Black now normalizes string prefix order (#2297)

Remove spaces around power operators if both operands are simple (#2726)

Work around bug that causes unstable formatting in some cases in the presence of the magic trailing comma (#2807)

Use parentheses for attribute access on decimal float and int literals (#2799)

Don't add whitespace for attribute access on hexadecimal, binary, octal, and complex literals (#2799)

Treat blank lines in stubs the same inside top-level if statements (#2820)

Fix unstable formatting with semicolons and arithmetic expressions (#2817)

Fix unstable formatting around magic trailing comma (#2572)

Parser

Fix mapping cases that contain as-expressions, like case {"key": 1 | 2 as password} (#2686)

Fix cases that contain multiple top-level as-expressions, like case 1 as a, 2 as b (#2716)

Fix call patterns that contain as-expressions with keyword arguments, like case Foo(bar=baz as quux) (#2749)

Tuple unpacking on return and yield constructs now implies 3.8+ (#2700)

Unparenthesized tuples on annotated assignments (e.g values: Tuple[int, ...] = 1, 2, 3) now implies 3.8+ (#2708)

Fix handling of standalone match() or case() when there is a trailing newline or a comment inside of the parentheses. (#2760)

from __future__ import annotations statement now implies Python 3.7+ (#2690)

Performance

Speed-up the new backtracking parser about 4X in general (enabled when --target-version is set to 3.10 and higher). (#2728)

Black is now compiled with mypyc for an overall 2x speed-up. 64-bit Windows, MacOS, and Linux (not including musl) are supported. (#1009, #2431)

... (truncated)

Commits

d038a24 Prepare docs for release 22.1.0 (GH-2826)

dea2f94 Fix changelog entries in the wrong release (#2825)

c5f8e8b Fix changelog entries in the wrong release (#2825)

0d768e5 Remove test suite from setup.py (#2824)

8acb854 Update classifiers to reflect stable (#2823)

a4992b4 Add a test case to torture.py (#2822)

a24e1f7 Fix instability due to trailing comma logic (#2572)

95e77cb Fix arithmetic stability issue (#2817)

df0aeee Formalise style preference description (#2818)

4ce049d torture test (#2815)

Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

@dependabot rebase will rebase this PR

@dependabot recreate will recreate this PR, overwriting any edits that have been made to it

@dependabot merge will merge this PR after your CI passes on it

@dependabot squash and merge will squash and merge this PR after your CI passes on it

@dependabot cancel merge will cancel a previously requested merge and block automerging

@dependabot reopen will reopen this PR if it is closed

@dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually

@dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

dependencies
opened by dependabot[bot] 0
Update black requirement from ^20.8b1 to ^21.12b0
Updates the requirements on black to permit the latest version.

Release notes

Sourced from black's releases.

21.12b0

Black

Fix determination of f-string expression spans (#2654)

Fix bad formatting of error messages about EOF in multi-line statements (#2343)

Functions and classes in blocks now have more consistent surrounding spacing (#2472)

Jupyter Notebook support

Cell magics are now only processed if they are known Python cell magics. Earlier, all cell magics were tokenized, leading to possible indentation errors e.g. with %%writefile. (#2630)

Fix assignment to environment variables in Jupyter Notebooks (#2642)

Python 3.10 support

Point users to using --target-version py310 if we detect 3.10-only syntax (#2668)

Fix match statements with open sequence subjects, like match a, b: or match a, *b: (#2639) (#2659)

Fix match/case statements that contain match/case soft keywords multiple times, like match re.match() (#2661)

Fix case statements with an inline body (#2665)

Fix styling of starred expressions inside match subject (#2667)

Fix parser error location on invalid syntax in a match statement (#2649)

Fix Python 3.10 support on platforms without ProcessPoolExecutor (#2631)

Improve parsing performance on code that uses match under --target-version py310 up to ~50% (#2670)

Packaging

Remove dependency on regex (#2644) (#2663)

Thank you!

@isidentical for the polishing up 3.10 syntax support (which they contributed in the first place!)

@MarcoGorelli for their ever-continuing work on Black's jupyter support

@jalaziz for cleaning up our Pyinstaller CD workflow

@hauntsaninja for helping us drop the regex dependency

And also congrats to first contributors!

@MatthewScholefield made their first contribution in psf/black#2631

@AshIsbitt made their first contribution in psf/black#2632

@kalbasit made their first contribution in psf/black#2638

@danieleades made their first contribution in psf/black#2653

@danielsparing made their first contribution in psf/black#2630

@tanvimoharir made their first contribution in psf/black#2343

Changelog

Sourced from black's changelog.

21.12b0

Black

Fix determination of f-string expression spans (#2654)

Fix bad formatting of error messages about EOF in multi-line statements (#2343)

Functions and classes in blocks now have more consistent surrounding spacing (#2472)

from __future__ import annotations statement now implies Python 3.7+ (#2690)

Jupyter Notebook support

Cell magics are now only processed if they are known Python cell magics. Earlier, all cell magics were tokenized, leading to possible indentation errors e.g. with %%writefile. (#2630)

Fix assignment to environment variables in Jupyter Notebooks (#2642)

Python 3.10 support

Point users to using --target-version py310 if we detect 3.10-only syntax (#2668)

Fix match statements with open sequence subjects, like match a, b: or match a, *b: (#2639) (#2659)

Fix match/case statements that contain match/case soft keywords multiple times, like match re.match() (#2661)

Fix case statements with an inline body (#2665)

Fix styling of starred expressions inside match subject (#2667)

Fix parser error location on invalid syntax in a match statement (#2649)

Fix Python 3.10 support on platforms without ProcessPoolExecutor (#2631)

Improve parsing performance on code that uses match under --target-version py310 up to ~50% (#2670)

Packaging

Remove dependency on regex (#2644) (#2663)

21.11b1

Black

Bumped regex version minimum to 2021.4.4 to fix Pattern class usage (#2621)

21.11b0

Black

Warn about Python 2 deprecation in more cases by improving Python 2 only syntax detection (#2592)

Add experimental PyPy support (#2559)

Add partial support for the match statement. As it's experimental, it's only enabled when --target-version py310 is explicitly specified (#2586)

Add support for parenthesized with (#2586)

... (truncated)

Commits

See full diff in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

@dependabot rebase will rebase this PR

@dependabot recreate will recreate this PR, overwriting any edits that have been made to it

@dependabot merge will merge this PR after your CI passes on it

@dependabot squash and merge will squash and merge this PR after your CI passes on it

@dependabot cancel merge will cancel a previously requested merge and block automerging

@dependabot reopen will reopen this PR if it is closed

@dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually

@dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

dependencies
opened by dependabot[bot] 0

Owner

Kim

:(){ :|: & };:

GitHub

Regularization and Feature Selection in Least Squares Temporal Difference Learning

Regularization and Feature Selection in Least Squares Temporal Difference Learning Description This is Python implementations of Least Angle Regressio

0 Jan 18, 2022

Meerkat provides fast and flexible data structures for working with complex machine learning datasets.

Meerkat makes it easier for ML practitioners to interact with high-dimensional, multi-modal data. It provides simple abstractions for data inspection, model evaluation and model training supported by efficient and robust IO under the hood.

115 Dec 12, 2022

Fully Automated YouTube Channel ▶️with Added Extra Features.

Fully Automated Youtube Channel ▒█▀▀█ █▀▀█ ▀▀█▀▀ ▀▀█▀▀ █░░█ █▀▀▄ █▀▀ █▀▀█ ▒█▀▀▄ █░░█ ░░█░░ ░▒█░░ █░░█ █▀▀▄ █▀▀ █▄▄▀ ▒█▄▄█ ▀▀▀▀ ░░▀░░ ░▒█░░ ░▀▀▀ ▀▀▀░

249 Jan 2, 2023

A testing system for catching visual regressions in Web applications.

Huxley Watches you browse, takes screenshots, tells you when they change Huxley is a test-like system for catching visual regressions in Web applicati

4.1k Nov 30, 2022

Django helper application to easily and non-destructively crop arbitrarily large images in admin and frontend.

django-image-cropping django-image-cropping is an app for cropping uploaded images via Django's admin backend using Jcrop. Screenshot: django-image-cr

546 Jan 3, 2023

Python beta calculator that retrieves stock and market data and provides linear regressions.

Stock and Index Beta Calculator Python script that calculates the beta (β) of a stock against the chosen index. The script retrieves the data and resa

4 Jul 29, 2022

YOLTv5 rapidly detects objects in arbitrarily large aerial or satellite images that far exceed the ~600×600 pixel size typically ingested by deep learning object detection frameworks

YOLTv5 rapidly detects objects in arbitrarily large aerial or satellite images that far exceed the ~600×600 pixel size typically ingested by deep learning object detection frameworks.

145 Jan 1, 2023

Transformers-regression - Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates

Regression Free Model Update Code for the paper: Regression Bugs Are In Your Mod

2 Feb 17, 2022

Complex-Valued Neural Networks (CVNN)Complex-Valued Neural Networks (CVNN)

Complex-Valued Neural Networks (CVNN) Done by @NEGU93 - J. Agustin Barrachina Using this library, the only difference with a Tensorflow code is that y

1 Nov 12, 2021

CJK computer science terms comparison / 中日韓電腦科學術語對照 / 日中韓のコンピュータ科学の用語対照 / 한·중·일 전산학 용어 대조

CJK computer science terms comparison This repository contains the source code of the website. You can see the website from the following link: Englis

88 Dec 23, 2022

PRAnCER is a web platform that enables the rapid annotation of medical terms within clinical notes.

PRAnCER (Platform enabling Rapid Annotation for Clinical Entity Recognition) is a web platform that enables the rapid annotation of medical terms within clinical notes. A user can highlight spans of text and quickly map them to concepts in large vocabularies within a single, intuitive platform.

39 Nov 14, 2022

The coda and data for "Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach" (ACL '21)

We propose a hierarchical core-fringe learning framework to measure fine-grained domain relevance of terms – the degree that a term is relevant to a broad (e.g., computer science) or narrow (e.g., deep learning) domain.

14 Oct 21, 2022

Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms

LESA Introduction This repository contains the official implementation of Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Cont

20 Dec 31, 2021

We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.

An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering Papers with code | Paper Nikola Zubić Pietro Lio University

213 Dec 27, 2022

Simple yet efficient tool used to check and sort tokens in terms of there validation.

Discord Token Checker Simple yet efficient tool used to check and sort tokens in terms of there validation.When the program is done,go to the "output"

15 Dec 27, 2022

The blancmange curve can be visually built up out of triangle wave functions if the infinite sum is approximated by finite sums of the first few terms.

Blancmange-curve The blancmange curve can be visually built up out of triangle wave functions if the infinite sum is approximated by finite sums of th

1 Nov 30, 2021

Search for terms(word / table / field name or any) under Snowflake schema names

snowflake-search-terms-in-ddl-views Search for terms(word / table / field name or any) under Snowflake schema names Version : 1.0v How to use ? Run th

1 Dec 15, 2021

Implemented a Google Maps prototype that provides the shortest route in terms of distance

Implemented a Google Maps prototype that provides the shortest route in terms of distance, the fastest route, the route with the fewest turns, and a scenic route that avoids roads when provided a source and destination. The algorithms used were DFS, BFS, A*, and Iterative Depth First Search.

1 Dec 26, 2021

Consistency Regularization for Adversarial Robustness

Consistency Regularization for Adversarial Robustness Official PyTorch implementation of Consistency Regularization for Adversarial Robustness by Jiho

40 Dec 17, 2022

Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

CoMatch: Semi-supervised Learning with Contrastive Graph Regularization (Salesforce Research) This is a PyTorch implementation of the CoMatch paper [B

107 Dec 14, 2022

Reggy - Regressions with arbitrarily complex regularization terms

Related tags

Overview

reggy

Installation

Usage

Comments

Update tensorflow-probability requirement from ^0.17 to >=0.17,<0.19

TensorFlow Probability 0.18.0

Release notes

Change notes

Huge thanks to all the contributors to this release!

Update tensorflow-probability requirement from >=0.15,<0.17 to >=0.15,<0.18

TensorFlow Probability 0.17.0

Release notes

Huge thanks to all the contributors to this release!

Update tensorflow-probability requirement from ^0.15.0 to >=0.15,<0.17

TensorFlow Probability 0.16.0

Release notes

Change notes

Huge thanks to all the contributors to this release!

Update pytest requirement from ^6.2.1 to ^7.0.0

7.0.0

pytest 7.0.0 (2022-02-03)

Deprecations

Bug Fixes

Improved Documentation

Trivial/Internal Changes

pytest 7.0.0rc1 (2021-12-06)

Breaking Changes

Update black requirement from ^21.12b0 to ^22.1

22.1.0

Highlights

Style

Parser

Performance

Configuration

Output

Packaging

22.1.0

Highlights

Style

Parser

Performance

Update black requirement from ^20.8b1 to ^21.12b0

21.12b0

Black

Jupyter Notebook support

Python 3.10 support

Packaging

Thank you!

21.12b0

Black

Jupyter Notebook support

Python 3.10 support

Packaging

21.11b1

Black

21.11b0

Black

Owner

Kim

Regularization and Feature Selection in Least Squares Temporal Difference Learning

Meerkat provides fast and flexible data structures for working with complex machine learning datasets.

Fully Automated YouTube Channel ▶️with Added Extra Features.

A testing system for catching visual regressions in Web applications.

Django helper application to easily and non-destructively crop arbitrarily large images in admin and frontend.

Python beta calculator that retrieves stock and market data and provides linear regressions.

YOLTv5 rapidly detects objects in arbitrarily large aerial or satellite images that far exceed the ~600×600 pixel size typically ingested by deep learning object detection frameworks

Transformers-regression - Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates

Complex-Valued Neural Networks (CVNN)Complex-Valued Neural Networks (CVNN)

CJK computer science terms comparison / 中日韓電腦科學術語對照 / 日中韓のコンピュータ科学の用語対照 / 한·중·일 전산학 용어 대조

PRAnCER is a web platform that enables the rapid annotation of medical terms within clinical notes.

The coda and data for "Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach" (ACL '21)

Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms

We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.

Simple yet efficient tool used to check and sort tokens in terms of there validation.

The blancmange curve can be visually built up out of triangle wave functions if the infinite sum is approximated by finite sums of the first few terms.

Search for terms(word / table / field name or any) under Snowflake schema names

Implemented a Google Maps prototype that provides the shortest route in terms of distance